Introduction to Nano Banana: Lightweight LLMs for Real-World Applications Training Course

Google Antigravity is an agentic development environment built to create autonomous agents that can plan, reason, code, and execute actions leveraging Gemini 3’s multimodal capabilities.

This live, instructor-led training session, available online or onsite, targets advanced technical professionals aiming to design, construct, and deploy autonomous agents using Gemini 3 and the Antigravity platform.

By the end of this program, participants will be equipped to:

• Construct autonomous workflows that leverage Gemini 3 for reasoning, planning, and execution.
• Create agents within Antigravity capable of analyzing tasks, generating code, and interacting with external tools.
• Seamlessly integrate Gemini-powered agents into enterprise systems and APIs.
• Refine agent behavior, ensuring safety and reliability within complex environments.

Course Format

• Expert-led demonstrations paired with interactive discussions.
• Hands-on experimentation in autonomous agent development.
• Practical implementation utilizing Antigravity, Gemini 3, and relevant cloud tools.

Customization Options

• If your team requires specific domain behaviors or custom integrations, please reach out to us to tailor the program to your needs.

Nano Banana is a purpose-built model designed to enable rapid and highly efficient AI processing directly on end-user devices.

This instructor-led, live training—available either online or onsite—is tailored for intermediate-level practitioners seeking to architect and release AI-driven mobile applications using Nano Banana, eliminating the dependency on cloud-based infrastructure.

By the end of this program, participants will be equipped to:

• Deploy Nano Banana models natively on mobile platforms.
• Enhance AI workload performance and energy efficiency.
• Embed text and image generation capabilities into mobile applications.
• Diagnose, measure, and optimize on-device inference workflows.

Course Delivery Method

• Live demonstrations led by instructors and interactive group discussions.
• Practical labs centered on authentic industry scenarios.
• Real-time coding and validation within a live mobile development context.

Customization Possibilities

• If you require a modified version of this curriculum, please reach out to explore bespoke customization options.

Nano Banana is a specialized lightweight AI framework engineered to streamline model compression and acceleration, ensuring high-efficiency performance in on-device and edge computing environments.

Designed as a live, instructor-led training available both online and onsite, this program targets intermediate to advanced professionals aiming to master the optimization, compression, and deployment of AI models within edge ecosystems using the Nano Banana toolset.

Upon successful completion, participants will be equipped to:

• Implement advanced compression and quantization techniques for AI models.
• Enhance inference performance specifically for edge device constraints.
• Leverage the Nano Banana toolchain to convert and deploy models effectively.
• Analyze and balance critical trade-offs among model accuracy, response latency, and resource consumption.

Course Delivery Format

• Interactive, instructor-led technical sessions paired with guided discussions.
• Practical hands-on exercises grounded in real-world edge-AI scenarios.
• Live implementation tasks utilizing a pre-configured practical environment.

Customization Possibilities

• Contact us to discuss tailored content or organization-specific adaptations for a customized version of this course.

Gemini 3 represents a sophisticated multimodal AI system engineered to facilitate deep reasoning, manage high-context tasks, and support extensive analytical workflows.

This instructor-led, live training session, available either online or onsite, is tailored for advanced professionals seeking to harness Deep-Think Mode for complex analysis, modeling, and strategic planning.

Upon completion of this course, participants will be able to:

• Utilize Deep-Think Mode to resolve intricate, multi-layered challenges.
• Create reasoning pipelines that feature long-context analysis.
• Refine prompts for iterative, multi-stage reasoning processes.
• Embed Deep-Think capabilities into research or production environments.

Course Delivery Format

• Expert-led presentations featuring real-world examples.
• Practical reasoning labs and structured exercises.
• Applied development through live experimentation environments.

Customization Opportunities

• Upon request, sessions can be tailored, or domain-specific deep-reasoning projects can be arranged.

Gemini 3 is a multimodal AI model engineered to reason across text, images, and structured inputs, thereby enabling complex enterprise workflows.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level professionals aiming to construct reasoning-driven and multimodal workflows using Gemini 3 within enterprise settings.

Upon completing this course, participants will be equipped with the skills to:

• Leverage Gemini 3’s reasoning capabilities to enhance enterprise planning and decision-making processes.
• Architect multimodal processes that integrate text, images, documents, and tabular data.
• Develop business workflows utilizing AI Studio and Vertex AI tools.
• Refine outputs through prompt engineering and iterative optimization techniques.

Course Delivery Format

• Expert-led demonstrations accompanied by detailed explanations.
• Practical exercises centered on workflow design and multimodal task execution.
• Hands-on experimentation within AI Studio or Vertex AI environments.

Customization Options

• If your organization requires specific workflow scenarios or data integration examples, please reach out to us to customize the training.

Gemini 3 represents a next-generation AI framework designed to elevate both Google Search experiences and workplace productivity via AI Mode.

This live, instructor-led session—available either online or on-site—is tailored for entry-level professionals seeking to harness Gemini 3 for optimizing research, strategic planning, data analysis, and routine knowledge tasks.

During the course, learners will develop the essential competencies to:

• Leverage Gemini 3’s AI Mode to expedite research processes and enhance information discovery.
• Implement Gemini-supported workflows to condense content and derive actionable insights.
• Seamlessly incorporate Gemini 3 capabilities into daily operational tasks.
• Establish best practices for the responsible and dependable utilization of AI technologies.

Course Structure

• Guided lectures accompanied by live demonstrations.
• Structured practical exercises designed to reinforce skill acquisition.
• Application of real-world scenarios involving active search and productivity challenges.

Customization Availability

• For training tailored to specific operational workflows, please reach out to explore personalized adaptation options.

This instructor-led live training in Bulgaria (online or on-site) is designed for beginner to intermediate developers looking to integrate AI functionalities into their applications using Google Gemini AI.

Upon completion of this training, participants will be able to:

• Comprehend the core principles of large language models.
• Configure and utilize Google Gemini AI for various AI tasks.
• Execute text-to-text and image-to-text transformations.
• Construct fundamental AI-driven applications.
• Investigate advanced features and customization options within Google Gemini AI.

This instructor-led, live training in Bulgaria (online or onsite) is designed for intermediate-level content creators seeking to use Google Gemini AI to improve the quality and efficiency of their content.

By the end of this training, participants will be able to:

• Understand the role of AI in content creation.
• Set up and use Google Gemini AI to generate and optimize content.
• Apply text-to-text transformations to produce creative and original content.
• Implement SEO strategies using AI-driven insights.
• Analyze content performance and adapt strategies using Gemini AI.

This instructor-led live training in Bulgaria (online or onsite) targets intermediate-level customer service professionals aiming to integrate Google Gemini AI into their operations.

Upon completion of this training, participants will be able to:

• Grasp the impact of AI on customer service.
• Configure Google Gemini AI to automate and personalize customer interactions.
• Leverage text-to-text and image-to-text transformations to enhance service efficiency.
• Develop AI-driven strategies for real-time customer feedback analysis.
• Explore advanced features to create a seamless customer service experience.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

By the end of this training, participants will be able to:

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

Google Gemini AI is a state-of-the-art large language model that delivers advanced AI functionalities, including natural language comprehension, text generation, and multimodal processing. These capabilities empower developers to create intelligent applications that are context-aware.

This instructor-led live training session, available either online or onsite, is designed for beginner to intermediate developers looking to apply AI principles practically. Through hands-on projects, real-world scenarios, and collaborative exercises, participants will gain experience with Google Gemini AI.

Upon completing this training, participants will be equipped to:

• Effectively configure and utilize Google Gemini AI along with its associated tools.
• Build AI-powered applications that process both text and image inputs.
• Utilize NotebookLM to streamline practical AI workflows and enhance document-based reasoning.
• Work within small teams to design and implement functional AI prototypes.

Course Delivery Format

• Interactive lectures combined with guided discussions.
• Practical lab exercises and collaborative team projects.
• Applied assignments utilizing Google Gemini AI and NotebookLM.

Customization Opportunities

• For organizations seeking a tailored training solution, please reach out to us to arrange specific requirements.

This instructor-led, live training in Bulgaria (online or onsite) is designed for intermediate-level public sector professionals who want to use Gemini to generate high-quality content, support research, and improve productivity through advanced AI interactions.

By the end of this training, participants will be able to:

• Craft more effective and tailored prompts for specific use cases.
• Generate original and creative content using Gemini.
• Summarize and compare complex information with precision.
• Use Gemini for brainstorming, planning, and organizing ideas efficiently.

Gemini 3 is a versatile multimodal AI platform designed to process and reason across diverse data types, including images, video, audio, and text.

This live, instructor-led training, available both online and onsite, is tailored for intermediate-level professionals aiming to design and develop applications that leverage Gemini 3’s cross-modal intelligence.

By the end of this workshop, participants will be equipped to:

• Seamlessly integrate Gemini 3 multimodal endpoints into practical business workflows.
• Handle and analyze visual, audio, video, and text inputs within unified processing pipelines.
• Develop interactive prototypes utilizing multimodal prompting techniques.
• Enhance multimodal outputs to ensure optimal performance, precision, and user experience.

Training Delivery Format

• Interactive lectures accompanied by live demonstrations.
• Scenario-driven exercises focusing on hands-on application.
• Practical implementation sessions conducted in live development environments.

Customization Availability

• To arrange tailored content or custom project-based training, please reach out to our team.

Nano Banana is a compact AI framework engineered for high-efficiency on-device model execution within Android environments.

Delivered as an instructor-led live session (available online or onsite), this course targets Android developers ranging from beginners to intermediate professionals who aim to embed optimized AI capabilities directly into their mobile applications.

By the end of this training, participants will be equipped to:

• Integrate the Nano Banana SDK into existing Android Studio projects.
• Implement real-time AI inference leveraging Nano Banana APIs.
• Tune model performance for resource-constrained mobile environments.
• Apply industry best practices for secure, privacy-centric on-device AI.

Course Delivery Format

• Interactive guided presentations and collaborative group discussions.
• Practical coding exercises designed to solidify core concepts.
• Hands-on implementation work using real-world Android scenarios.

Customization Possibilities

• Contact us to explore tailored versions of this course and arrange a customized program.

Nano Banana is an on-device AI framework engineered to execute models locally, ensuring rigorous privacy standards and full regulatory compliance.

Delivered as an instructor-led, live training session (either online or onsite), this course is tailored for professionals ranging from beginner to intermediate levels who aim to implement privacy-preserving AI capabilities on mobile devices using Nano Banana, particularly within regulated or sensitive sectors.

Upon completing this training, participants will be equipped to:

• Develop mobile applications that handle data privately on the device.
• Integrate Nano Banana to establish compliant AI workflows.
• Implement privacy-enhancing techniques, including anonymization and secure processing.
• Assess and mitigate privacy risks throughout the mobile AI development lifecycle.

Course Format

• Interactive guidance with opportunities for discussion and Q&A.
• Practical exercises focusing on privacy-centric mobile AI scenarios.
• Hands-on implementation within a real-world development environment.

Customization Options

• To address organization-specific requirements or sector-specific compliance needs, please reach out to us to tailor this program.